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kmcut

Optimized Kaplan Meier analysis and identification and validation of prognostic biomarkers

Bioconductor version: 3.24 · Package version: 1.7.0

The purpose of the package is to identify prognostic biomarkers and an optimal numeric cutoff for each biomarker that can be used to stratify a group of test subjects (samples) into two sub-groups with significantly different survival (better vs. worse). The package was developed for the analysis of gene expression data, such as RNA-seq. However, it can be used with any quantitative variable that has a sufficiently large proportion of unique values.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("kmcut")

Details

MaintainerIgor Kuznetsov <ibkalb@gmail.com>
AuthorIgor Kuznetsov [aut, cre], Javed Khan [aut]
LicenseArtistic-2.0
Downloads rank287
Source branchdevel
biocViewsGeneExpression, Software, StatisticalMethod, Survival

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagekmcut_1.7.0.tar.gz
Windows binary (x86_64)kmcut_1.7.0.zip
macOS binary (arm64)kmcut_1.7.0.tgz
macOS binary (x86_64)kmcut_1.7.0.tgz
Dependencies

Imports: survival, tools, methods, pracma, doParallel, foreach, parallel, SummarizedExperiment, S4Vectors

Suggests: BiocStyle, knitr, rmarkdown